My Machine and I: ChatGPT and the Future of Human-Machine Collaboration
in Africa
- URL: http://arxiv.org/abs/2310.13704v1
- Date: Sun, 1 Oct 2023 17:27:51 GMT
- Title: My Machine and I: ChatGPT and the Future of Human-Machine Collaboration
in Africa
- Authors: Munachimso Blessing Oguine, Chidera Godsfavor Oguine, Kanyifeechukwu
Jane Oguine
- Abstract summary: ChatGPT, an Artificial intelligence (AI) assistive technology, has gained mainstream adoption and implementation in academia and industry.
Our findings indicate the prevalence of ChatGPT for human-computer interaction within academic sectors such as education, and research.
trends also revealed the relatively high effectiveness of ChatGPT in improving human-machine collaboration.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: Recent advancements in technology have necessitated a paradigm shift in the
people use technology necessitating a new research field called Human-Machine
collaboration. ChatGPT, an Artificial intelligence (AI) assistive technology,
has gained mainstream adoption and implementation in academia and industry;
however, a lot is left unknown about how this new technology holds for
Human-Machine Collaboration in Africa. Our survey paper highlights to answer
some of these questions. To understand the effectiveness of ChatGPT on
human-machine collaboration we utilized reflexive thematic analysis to analyze
(N= 51) articles between 2019 and 2023 obtained from our literature search. Our
findings indicate the prevalence of ChatGPT for human-computer interaction
within academic sectors such as education, and research; trends also revealed
the relatively high effectiveness of ChatGPT in improving human-machine
collaboration.
Related papers
- Advancing Social Intelligence in AI Agents: Technical Challenges and Open Questions [67.60397632819202]
Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research goal.
We identify a set of underlying technical challenges and open questions for researchers across computing communities to advance Social-AI.
arXiv Detail & Related papers (2024-04-17T02:57:42Z) - Exploring ChatGPT and its Impact on Society [7.652195319352287]
ChatGPT is a large language model that can generate human-like responses in a conversational context.
It has the potential to revolutionize various industries and transform the way we interact with technology.
However, the use of ChatGPT has also raised several concerns, including ethical, social, and employment challenges.
arXiv Detail & Related papers (2024-02-21T16:44:35Z) - Human AI Collaboration in Software Engineering: Lessons Learned from a
Hands On Workshop [1.14603174659129]
The study identifies key themes such as the evolving nature of human AI interaction, the capabilities of AI in software engineering tasks, and the challenges and limitations of integrating AI in this domain.
The findings show that while AI, particularly ChatGPT, improves the efficiency of code generation and optimization, human oversight remains crucial, especially in areas requiring complex problem solving and security considerations.
arXiv Detail & Related papers (2023-12-17T06:31:05Z) - Best uses of ChatGPT and Generative AI for computer science research [0.0]
This paper explores the diverse applications of ChatGPT and other generative AI technologies in computer science academic research.
We highlight innovative uses such as brainstorming research ideas, aiding in the drafting and styling of academic papers and assisting in the synthesis of state-of-the-art section.
arXiv Detail & Related papers (2023-11-18T21:57:54Z) - On the Opportunities of Green Computing: A Survey [80.21955522431168]
Artificial Intelligence (AI) has achieved significant advancements in technology and research with the development over several decades.
The needs for high computing power brings higher carbon emission and undermines research fairness.
To tackle the challenges of computing resources and environmental impact of AI, Green Computing has become a hot research topic.
arXiv Detail & Related papers (2023-11-01T11:16:41Z) - ChatGPT: Vision and Challenges [1.0591256138276635]
ChatGPT has become a prominent AI language model.
This article investigates into the background and development of the technology behind it, as well as its popular applications.
We speculate on the future of ChatGPT by considering various possibilities for study and development, such as energy-efficiency, cybersecurity, enhancing its applicability to additional technologies (Robotics and Computer Vision), strengthening human-AI communications, and bridging the technological gap.
arXiv Detail & Related papers (2023-05-08T14:54:44Z) - Human-Centered Responsible Artificial Intelligence: Current & Future
Trends [76.94037394832931]
In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence.
All of this work is aimed at developing AI that benefits humanity while being grounded in human rights and ethics, and reducing the potential harms of AI.
In this special interest group, we aim to bring together researchers from academia and industry interested in these topics to map current and future research trends.
arXiv Detail & Related papers (2023-02-16T08:59:42Z) - Coordinated Science Laboratory 70th Anniversary Symposium: The Future of
Computing [80.72844751804166]
In 2021, the Coordinated Science Laboratory CSL hosted the Future of Computing Symposium to celebrate its 70th anniversary.
We summarize the major technological points, insights, and directions that speakers brought forward during the symposium.
Participants discussed topics related to new computing paradigms, technologies, algorithms, behaviors, and research challenges to be expected in the future.
arXiv Detail & Related papers (2022-10-04T17:32:27Z) - Human-Robot Collaboration and Machine Learning: A Systematic Review of
Recent Research [69.48907856390834]
Human-robot collaboration (HRC) is the approach that explores the interaction between a human and a robot.
This paper proposes a thorough literature review of the use of machine learning techniques in the context of HRC.
arXiv Detail & Related papers (2021-10-14T15:14:33Z) - Joint Mind Modeling for Explanation Generation in Complex Human-Robot
Collaborative Tasks [83.37025218216888]
We propose a novel explainable AI (XAI) framework for achieving human-like communication in human-robot collaborations.
The robot builds a hierarchical mind model of the human user and generates explanations of its own mind as a form of communications.
Results show that the generated explanations of our approach significantly improves the collaboration performance and user perception of the robot.
arXiv Detail & Related papers (2020-07-24T23:35:03Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.